Albert Gu is an Assistant Professor of Machine Learning at CMU who works on research topics including multimodal, long-context, and tokenization methods.
Referenced in coverage
“Posted research findings on byte-level models performing better under multi-epoch training.”
“Gu is credited with work on Mamba-3, a state space model optimized for inference-heavy workloads with enhanced hardware efficiency.”